Data Architect -New Orleans, LA

Data Architect -New Orleans, LA

FinTrust Connect has partnered with a regional banking institution to identify top talent for the role of Data Architect in New Orleans, LA. This position offers the opportunity to work at the forefront of enterprise data strategy, designing and implementing modern, scalable, and secure data solutions across a dynamic financial services environment. The ideal candidate will play a pivotal role in shaping how data is structured, accessed, and governed, ensuring alignment with evolving business objectives and digital transformation initiatives. This is a hands-on architecture role, suited for professionals who thrive on collaboration, technical leadership, and innovative problem-solving within a regulated industry.

Why this opportunity?

• Culture: This regional bank has been recognized as one of the nation's best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. This is an organization with a market-centric approach that enables you to remain nimble and in tune with the local economy.

• Workplace (Remote, On-site, Hybrid): On-site in New Orleans, LA

Requirements:

• 4+ years in data architecture roles
• 7+ years in data engineering or application development with a data focus
• Bachelor's degree in Computer Science, Data Science, or related field
• AWS Certified Solution Architect or Azure Solutions Architect Expert preferred
• Proficient in Python, Spark, and SQL; strong grasp of ERDs, BPMN, and UML
• Hands-on experience with Apache Kafka, Azure Event Hubs, and other modern data streaming tools
• Knowledge of public cloud platforms (AWS, Azure) and hybrid environments

Description:

• Design and document scalable, secure, and performant data systems across the organization
• Lead solution design workshops and guide developers on architecture standards
• Collaborate with application, security, infrastructure, cloud, and DevOps architects
• Maintain architectural artifacts including process diagrams, ERDs, and network topologies
• Evaluate third-party vendor solutions and align technical designs with business strategy
• Ensure observability, stability, and lifecycle management of data architecture
• Contribute to the governance of enterprise architecture and technical debt planning